Content

Organisations are increasingly relying on business analytics to get value from the very data they generate in their day to day operations. In order to gain maximum effective results from this data, it has to be reorganised to reflect this new use at the enterprise level rather than at the operational level. When data is reorganised to meet this need, there is a real risk that the semantics of the data will be compromised and that data integrity can be violated. Hence, students will learn how data can be captured and reorganised properly without causing such issues. Specifically, this unit introduces students to a number of topics in data management, including relational database management, data warehousing and ETL, as well as big data management and analytics. At the end of this unit, students will understand broad issues concerning data management, gain basic skills in manipulating data in different environments, and will have the adequate knowledge to progress on to the advanced units in the course.

This unit will enable students to understand:1. Current information management approaches; 2. The requirements imposed by the move to Big Data;3. Analytics techniques used with Big Data; and4. The potential and limitations of specific analytics applications